Data Science BSc

**Please check the Sheffield Hallam University website for the latest information.** <br/><br/>**Course Summary** <br/><br/><br/>- Design innovative systems using data science to address complex, real-world challenges. <br/><br/><br/>- Harness AI and data mining techniques to extract insights from large datasets. <br/><br/><br/>- Build practical skills in programming, cloud computing and automated data pipelines. <br/><br/><br/>- Collaborate with industry on applied projects using live datasets and business briefs. <br/><br/><br/>- Learn through real-world experiences, developing ethical, technical and sector-ready expertise. <br/><br/><br/>You’ll gain deep knowledge of data science techniques, from predictive analytics to AI programming, and apply them across sectors such as health, finance, and tech. Taught by research-active staff, you’ll learn to develop cutting-edge systems and algorithms while understanding the ethical implications of data technologies. Real client projects, team-based challenges and a year-long placement opportunity prepare you for a career at the forefront of the data-driven economy. <br/><br/>**How You Learn**<br/><br/>At Sheffield Hallam, all our courses are designed to engage you with the world and challenge you to think in new ways. You’ll get to collaborate with others, and you’ll be taught in a supportive environment where you can thrive. <br/><br/>In your first year, you’ll explore the mathematical foundations of data science and learn key programming languages such as Python, SAS and C#. These skills are applied in team projects, where you’ll solve real business problems with external clients. <br/><br/>As you progress, you’ll learn tools for developing automated data pipelines and work with machine learning, cloud systems and AI frameworks. In your final year, you’ll create an independent data science project under academic supervision. <br/><br/>**Key Themes** <br/><br/>Throughout your studies, you’ll explore the mathematical and statistical principles that underpin data science and AI, learning to apply them through programming in widely used languages such as Python, C# and SAS. Youll gain expertise in cloud computing, automated data processing and ethical system design, supported by hands-on experience with tools like Azure, Tableau and Hadoop. As you progress, you’ll deepen your understanding of AI and machine learning techniques, learning how to build real-time data systems and deliver intelligent, business-driven insights. Commercial and academic tools are integrated throughout the course, preparing you to tackle real-world data challenges confidently across multiple industries. <br/><br/>**Course Support** <br/><br/>You will be supported in your learning journey towards highly skilled, graduate level employment through a number of key areas. These include: <br/><br/><br/>- Access to specialist personal, academic and career support services <br/><br/><br/>- Help from our Skills Centre with assignments and digital learning <br/><br/><br/>- Industry-led projects and simulated working environments <br/><br/><br/>- Peer mentoring and LinkedIn profile development <br/><br/><br/>- Employability workshops, career fairs and guest speakers <br/><br/><br/>**Applied Learning Opportunities** <br/><br/>**Work Placements** <br/><br/>You’ll have the opportunity to complete a year-long placement between your second and third year. This is recognised as a gold standard for personal and professional development, allowing you to graduate with an Applied Professional Diploma. You’ll apply skills in areas like AI analysis, data engineering, cloud systems and consultancy. <br/><br/>Previous students have worked at: <br/><br/><br/>- Intel <br/><br/><br/>- IBM <br/><br/><br/>- SN Systems <br/><br/><br/>- 3Squared <br/><br/><br/>- CSE Servelec <br/><br/><br/>**Live Projects** <br/><br/>In both your first and second years, you’ll work in teams on real projects from external clients, using live data to develop solutions. Past clients include Sheffield United FC, YES Energy Solutions and 4most. <br/><br/>**Networking Opportunities** <br/><br/>You’ll take part in career workshops, industry visits, employer talks and peer-networking events. You’ll also be supported to build a professional LinkedIn presence early in your course.